Director Data Science
Oxford, England, United Kingdom
Applications have closed
Exscientia
At Exscientia, we combine the power of AI and human creativity to make safer and more sophisticated drugs available to all. Visit our website to find out more.About Exscientia
Exscientia is an AI-driven pharmatech company committed to discovering, designing and developing the best possible drugs in the fastest and most effective manner. Exscientia developed the first-ever functional precision oncology platform to successfully guide treatment selection and improve patient outcomes in a prospective interventional clinical study, as well as to progress AI-designed small molecules into the clinical setting. Our pipeline demonstrates our ability to rapidly translate scientific concepts into precision-designed therapeutic candidates, with more than 25 projects underway. By designing better drugs, faster, we believe the best ideas of science can rapidly become the best medicines for patients.
As the Director of Data Science at Exscientia you will play a pivotal role in building our Data Science team. Reporting directly to our Chief Data Officer you will provide leadership for our growing team of Discovery Data Scientists to achieve our core mission: making better drugs, faster. You will also make direct personal contributions, using your machine learning and data science skills to advance our predictive capabilities to the next level.
As the Director of Data Science you will have the chance to:
- Grow, lead and mentor the Data Science team.
- Ensure the delivery of a broad panel of state-of-the-art machine learning models to discovery project teams to maximise our predictive capabilities.
- Oversee the continuous monitoring of the performance of our predictive models using objective benchmarks.
- Continuously innovate to improve on our existing machine learning capabilities.
- Help define data science strategy as well as plan and oversee delivery of key data science projects.
- Engage with key stakeholders across the business to understand business needs and help deliver data science projects to teams across Exscientia.
- Regularly present your work to peers, senior stakeholders and external customers.
- Learn about the latest advances in computational approaches to drug design and further develop your own research interests.
- Keep high performers engaged and motivated to continue doing their best work.
- Work closely with the Tech leadership to align strategy with data science roadmap and report progress toward delivery goals.
Requirements
- 10+ years of experience managing high-performing distributed teams.
- Domain knowledge of AI/ML in the setting of bioinformatics, cheminformatics or pharmacology and its application in the wider drug discovery setting.
- Significant experience in programming in python.
- Expert knowledge of a modern data science / analytics stack, including modern ML frameworks (e.g. PyTorch, TensorFlow, MLOps technologies (MLFlow, AutoML), modern workflow tools (e.g. AWS Step Functions, Airflow or Prefect) and collaborative data science environments (e.g. Jupyter notebooks, AWS SageMaker).
- Strong technical data science analytical skills for analyzing large and complex multi-dimensional data sets.
- Proven ability to plan and roll-out complex data projects within an agile organisation.
- All aspects of group leadership, mentorship and career development of data scientists.
- Excellent interpersonal, oral, and written communication skills: you will need to be able to communicate effectively with team members as well as external audiences having diverse professional backgrounds.
What would be great to have?
- Knowledge of pharmacokinetics and familiarity with ADME data.
- Knowledge of text mining and natural language processing techniques for extracting knowledge from the scientific literature.
Benefits
- Work together to make a positive contribution to patients by revolutionising the pharmaceutical industry through AI-driven discovery.
- We will work with you to kick-start or further grow your career – from funding for professional development and conference attendance. To the opportunity to acquire valuable skills, work on problems that matter, and learn from world-class technological and scientific leaders.
- Opportunity to join an inclusive, collaborative and intellectually stimulating culture
- We will work with you to provide a highly competitive compensation as we continue to grow and thrive.
- Our team’s health and well-being is important to us we offer a generous holiday allowance, provide flexible working and remote working to encourage all of our team to manage their own work, time and life along with wellbeing and mindfulness support.
- When you are in the office, you will have access to a kitchen stocked with an endless supply of food for all employees. Along with access plenty of break out areas so you can get to know the people you are working with. Some of the best ideas start with a coffee break!
- Hear from our team why they enjoy working here
Tags: Agile Airflow AWS Drug discovery Jupyter Machine Learning MLFlow ML models MLOps NLP Python PyTorch Research SageMaker TensorFlow
Perks/benefits: Career development Competitive pay Flex hours Health care Snacks / Drinks
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